A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.
Easily switch between alternative low-cost AI models in Claude Code/Agent SDK. For those comfortable using Claude agents and commands, it lets you take what you've created and deploy fully hosted agents for real business purposes. Use Claude Code to get the agent working, then deploy it in your favorite cloud.
Minimalistic, project-agnostic skills and rules for AI coding agents
Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

A security scanner for your LLM agentic workflows
The operations layer for agentic engineering — portable skills and contracts connecting intent, agents, software factories, and independent judgment.
Computer use CLI for AI agents
A collection of skills for AI coding agents working with Azure Cosmos DB. Skills are packaged instructions and scripts that extend agent capabilities.
Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic
Token-efficient, local-first CLI tools for coding agents - compact Maven, npm/Node, and Go test output plus reusable development helpers.

The multi-agent harness that checks the work: verifies agent runs by artifacts (stop-hook gates, independent judges, append-only event logs) across Claude Code, Codex, Cursor, and 10+ runtimes.
Production-grade Playwright + TypeScript Scaffold for Agentic Testing. Harness for all major AI coding agents baked in.
Verifiable and free cloud compute for AI agents. webMCP + MCP native. Check out our sandboxed Beta + research in the README
AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial. FastAPI / Next.js PWA / Textual TUI
Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design.
Reusable Agent Skills, plus integrations (statusline, provider usage, vision) that install into Codex, Claude Code, and opencode.
Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.
Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.